Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA436D33A73579B983CB41EEFB385A46B2C64499E8878510F5C8969D23C7CC06297BF4 |
|
CONTENT
ssdeep
|
1536:a5+EsZ/8H4y/DVRlMjBSRkMjBDDrpRXPZlQaQD9OehM+BrUgq4z:aG7y5RlRJDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c948b314f4f285bd |
|
VISUAL
aHash
|
781870f07010ffff |
|
VISUAL
dHash
|
e3f3e3c3d2f2eb52 |
|
VISUAL
wHash
|
783870f030107fff |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
e3f3e3c3d2f2eb52,c0cad29babcad2c4,ffffffb4b5ffa7f3,2e363c6c5878300c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 17 techniques to evade detection by security scanners and make reverse engineering more difficult.